Unsupervised matching of object models and ontologies using canonical vocabulary

  • Authors:
  • Matthias Quasthoff;Max Völkel;Christoph Meinel

  • Affiliations:
  • Hasso Plattner Institute, Potsdam, Germany;Institute AIFB, Karlsruhe, Germany;Hasso Plattner Institute, Potsdam, Germany

  • Venue:
  • Proceedings of the 6th International Conference on Semantic Systems
  • Year:
  • 2010

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Abstract

This paper presents a new method for publishing and consuming RDF data using object-oriented programming. We improve Object Triple Mapping (OTM) by separating (1) the transformation process between object-oriented data and RDF data from (2) explaining the transformation results using established Semantic Web vocabulary. To achieve this separation, we introduce a canonical vocabulary for object models. As a result, the Semantic Web expertise required to develop RDF-enabled applications is reduced.